British Machine Vision Association and Society for Pattern Recognition Call for Participation Shape Representation, Analysis and Perception One Day BMVA symposium in UCL, London, UK on 5th November 2007 http://www.bmva.ac.uk/meetings Chairs: Will Smith and Edwin Hancock, University of York. Computer vision draws on a diverse range of methods to represent shape for the purposes of recognition. Broadly speaking, the available methods are informed by a number of disciplines including geometry, statistics, neuroscience and psychophysics. Recent advances in the area include the use of ideas from differential geometry to construct representations for complex non-Euclidean forms of data and the use of ideas from statistics to construct shape spaces and shape-priors for objects that exhibit subtle modes of shape-variation. Moreover, there have been significant advances in the structural representation of shape, allowing hierarchical models and symbolic reasoning to be applied to high level analysis tasks such as the learning of shape-classes. Brain imaging studies using MEG and fMRI have also furnished information concerning the mechanisms involved in the perception of visual form. The aim of this meeting is to provide a forum for the discussion of recent results in shape representation, analysis and perception. Contributions describing recent work on shape representation, analysis or perception are welcome. Potential topics include, but are not limited to: statistical models, construction of shape-spaces, structural and syntactic approaches to shape analysis, shape priors, learning and discovery with shape representations, modelling biological form (including faces), brain imaging studies, psychophysical studies, shape-from-X (shading texture, specularity, motion etc). Please submit an extended summary of about one A4-sized page (no longer than two pages) in length (PDF preferred). Send contributions by email attachment (1Mb max please!) to Edwin Hancock ( mailto:erh@cs.york.ac.uk ) by 15th September 2007. Simon Prince, Department of Computer Science University College London, Gower Street, London, WC1E 6BT Tel. 020 7679 3692, Fax. 020 7387 1397 http://www.cs.ucl.ac.uk/staff/S.Prince/